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Role Overview
We’re seeking multiple Solutions Engineers to join our team of innovators and thought leaders. In this role, you’ll combine hands-on technical expertise with architectural vision to design and implement cutting-edge customer experience solutions using AWS services, with a particular focus on Amazon Connect and generative AI technologies.
Key Responsibilities
- Design and architect comprehensive customer experience solutions leveraging AWS services, particularly Amazon Connect, with a focus on integrating generative AI capabilities to enhance customer interactions
- Develop proof-of-concepts and prototypes to demonstrate innovative solutions to clients, showcasing the potential of combining cloud technologies with AI
- Lead technical discovery sessions and workshops with clients to understand their unique business challenges and translate them into actionable technical solutions
- Write and review code for critical components of client solutions, ensuring high standards of quality and scalability
- Create detailed technical specifications and architecture documents that align with both client requirements and AWS best practices
- Support continuous value delivery initiatives, including solution design, demonstrations, and implementation for signed customer engagements.
Required Skills & Experience
- Deep expertise in AWS services, particularly Amazon Connect and related customer experience offerings
- Hands-on experience implementing generative AI solutions in production environments
- Strong software engineering background with practical coding experience
- Proven consulting skills with the ability to communicate complex technical concepts to diverse audiences
- Experience in customer experience (CX) technology implementations
- Track record of successful solution delivery in highly regulated industries such as healthcare, finance, or government
Preferred Qualifications
- AWS certifications (Solutions Architect, Machine Learning Specialty)
- Experience with large-scale contact center migrations to cloud platforms
- Background in implementing AI/ML solutions in customer service contexts
- Knowledge of security and compliance requirements in regulated industries
- Experience with agile development methodologies
What Sets You Apart
- Ability to bridge the gap between business requirements and technical implementation
- Strong consultative approach with excellent client-facing skills
- Innovation mindset with a passion for exploring cutting-edge technologies
- Experience in both architectural design and hands-on development
- Understanding of contact center operations and customer experience best practices
Remote Pay Range
$140,000—$150,000 USD
Phizenix Livermore, California, USA Office
101 E. Vineyard Ave, Suite #119–115, Livermore, CA , United States, 94550
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
